Mark Gates
Cited by
Cited by
Towards high performance digital volume correlation
M Gates, J Lambros, MT Heath
Experimental Mechanics 51 (4), 491-507, 2011
Accelerating numerical dense linear algebra calculations with GPUs
J Dongarra, M Gates, A Haidar, J Kurzak, P Luszczek, S Tomov, ...
Numerical computations with GPUs, 3-28, 2014
Accelerating collaborative filtering using concepts from high performance computing
M Gates, H Anzt, J Kurzak, J Dongarra
2015 IEEE International Conference on Big Data (Big Data), 667-676, 2015
High-performance hybrid CPU and GPU parallel algorithm for digital volume correlation
M Gates, MT Heath, J Lambros
The International Journal of High Performance Computing Applications 29 (1 …, 2015
A survey of recent developments in parallel implementations of Gaussian elimination
S Donfack, J Dongarra, M Faverge, M Gates, J Kurzak, P Luszczek, ...
Concurrency and Computation: Practice and Experience 27 (5), 1292-1309, 2015
Implementation and tuning of batched Cholesky factorization and solve for NVIDIA GPUs
J Kurzak, H Anzt, M Gates, J Dongarra
IEEE Transactions on Parallel and Distributed Systems 27 (7), 2036-2048, 2015
Hpc programming on intel many-integrated-core hardware with magma port to xeon phi
J Dongarra, M Gates, A Haidar, Y Jia, K Kabir, P Luszczek, S Tomov
Scientific Programming 2015, 2015
With extreme computing, the rules have changed
J Dongarra, S Tomov, P Luszczek, J Kurzak, M Gates, I Yamazaki, H Anzt, ...
Computing in Science & Engineering 19 (3), 52-62, 2017
clMAGMA: high performance dense linear algebra with OpenCL
C Cao, J Dongarra, P Du, M Gates, P Luszczek, S Tomov
Proceedings of the International Workshop on OpenCL 2013 & 2014, 1-9, 2014
Portable HPC programming on Intel many-integrated-core hardware with MAGMA port to Xeon Phi
J Dongarra, M Gates, A Haidar, Y Jia, K Kabir, P Luszczek, S Tomov
International Conference on Parallel Processing and Applied Mathematics, 571-581, 2013
Preconditioned Krylov solvers on GPUs
H Anzt, M Gates, J Dongarra, M Kreutzer, G Wellein, M Köhler
Parallel Computing 68, 32-44, 2017
Parallel programming models for dense linear algebra on heterogeneous systems
J Dongarra, M Abalenkovs, A Abdelfattah, M Gates, A Haidar, J Kurzak, ...
Supercomputing frontiers and innovations 2 (4), 67-86, 2016
Heterogeneous streaming
CJ Newburn, G Bansal, M Wood, L Crivelli, J Planas, A Duran, P Souza, ...
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
Subset refinement for digital volume correlation: numerical and experimental applications
M Gates, J Gonzalez, J Lambros, MT Heath
Experimental Mechanics 55 (1), 245-259, 2015
Block-asynchronous multigrid smoothers for GPU-accelerated systems
H Anzt, S Tomov, M Gates, J Dongarra, V Heuveline
Procedia Computer Science 9, 7-16, 2012
A proposed API for batched basic linear algebra subprograms
J Dongarra, I Duff, M Gates, A Haidar, S Hammarling, NJ Higham, J Hogg, ...
Manchester Institute for Mathematical Sciences, University of Manchester, 2016
Leading edge hybrid multi-GPU algorithms for generalized eigenproblems in electronic structure calculations
A Haidar, R Solcà, M Gates, S Tomov, T Schulthess, J Dongarra
International Supercomputing Conference, 67-80, 2013
M Gates, A Tirumala, J Ferguson, J Dugan, F Qin, K Gibbs, J Estabrook
Website: http://dast. nlanr. net/Projects/Iperf (August 2006), 2003
C++ api for blas and lapack
M Gates, P Luszczek, A Abdelfattah, J Kurzak, J Dongarra, K Arturov, ...
Technical Report 2, ICL-UT-17-03, 2017
Iperf user docs
M Gates, A Tirumala, J Dugan, K Gibbs
Technical Documentation, 2003
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